Nana Bentil Saah

HI THERE, I'M

Nana Bentil Saah

Full-Stack & AI Developer

Building scalable web platforms, mobile experiences, and AI-integrated systems.

About

I am a Full-Stack & AI Developer.

I specialize in building AI-integrated products, mobile applications, and scalable backends. Over the past few years, I have architected systems ranging from predictive sports analytics engines to biometric voice security mobile apps. My core strength lies in taking a product from zero to production while delivering measurable business value.

const developer = {
name: "Nana Bentil Saah",
role: "Full-Stack & AI Developer",
focus: ["AI-integrated products", "mobile apps", "scalable backends"],
drive: function() {
return "Building fast products, clean interfaces, and data-driven features.";
}
};

developer.drive();

Professional Experience

My journey building scalable systems and impactful products.

Work History

Freelance Web Developer

Independent ContractorMay 2024 - Present

Built web applications and completed project work for various clients. Delivered responsive front-end interfaces using React, Next.js, and modern JS/TS with mobile-first design. Implemented containerized deployments using Docker with CI/CD pipelines.

Software Developer (Intern)

Old Mutual GhanaMay 2025 - Oct 2025

Built Node.js/Express backend services with JWT auth, bcrypt, and Redis caching. Automated 7 claim types and reduced turnaround from 5 days to under 2 days. Deployed on AWS with CI/CD pipelines.

Full-Stack Developer (Intern)

Dobiison — 360AfricaMay 2025 - Aug 2025

Built a full-stack web platform with React.js frontend cataloguing 50+ African historical sites. Developed admin dashboard and Node.js/Express backend with Prisma ORM and PostgreSQL on AWS.

Digital Team Intern

Tullow GhanaJun 2025 - Jul 2025

Assisted colleagues with IT and hardware support, improving team productivity and collaboration. Configured network switches and hardware infrastructure, gaining practical technical proficiency. Learned about operational technology in the oil and gas sector through engagement with experienced professionals.

Network Engineer (Intern)

Kosmos EnergyJul 2024 - Sep 2024

Configured enterprise routers, switches, and firewalls. Administered network protocols and implemented IP addressing, subnetting, and VLAN segregation.

Technical Arsenal

Frontend

React.js
Next.js
Tailwind CSS
TypeScript

Backend

Node.js
Express.js
PostgreSQL
Prisma
MongoDB
Redis

AI & Data

Python
TensorFlow
Scikit-Learn
Pandas
FAISS

Mobile

Flutter
Dart
React Native

Cloud & DevOps

AWS
Docker
Git
Vercel
CI/CD

Featured Projects

A selection of high-impact platforms, AI systems, and mobile applications.

Ca

Career Services Platform

Aug 2025 - Present

Engineered a comprehensive multi-role application on Next.js App Router for students, employers, and alumni, incorporating complex access controls via centralized middleware and NextAuth. Optimized full-stack performance using TanStack Query, reducing total requests by 30%.

Next.jsTypeScriptPrismaPostgreSQLTailwind CSSNextAuth
Bl

BlackStar AI — RAG QA System

Apr - May 2026

Developed RAG-based QA system for the 2025 Ghana Budget and election results with hybrid vector + TF-IDF retrieval and grounded citation prompts. Built FastAPI backend with FAISS vector search and a Next.js responsive UI.

FastAPIPythonNext.jsFAISSOpenAI APITailwind CSS
Wh

Whispr — Mobile Wake Word App

Sep 2025 - May 2026

Built privacy-first Android safety app with on-device wake phrase and gesture detection. Integrated Wav2Vec2 and ECAPA-TDNN ONNX models with Silero VAD. Implemented cancelable SMS alerts with location tracking.

FlutterDartONNX RuntimeFirebase
NB

NBA Salary Forecasting Model

Apr 2026

Forecasted NBA player salaries using a 2003–2023 longitudinal dataset. Built a canonical player-season table and trained Multiple Linear Regression, Random Forest, and XGBoost models (Test R² ≈ 0.737). Provided model explainability using SHAP values.

Pythonpandasscikit-learnxgboostJupyter
Cr

Credit-Card Default Risk Pipeline

Apr 2026

Built an end-to-end credit-card default risk analysis pipeline involving data inspection, imbalance handling with class weighting, and feature scaling.

Pythonscikit-learnxgboostJupyter

Let's Build Something Great.

I'm currently open for new opportunities. Whether you have a question, a project idea, or just want to say hi, my inbox is always open!